Engineering a clinical risk assessment platform built for reliability, accuracy and scalability.
MagView ORC is a web-based breast cancer risk assessment platform built around the Tyrer-Cuzick Model (Version 8). We engineered a responsive healthcare application that combines guided clinical workflows, real-time risk calculations, professional PDF reporting and a scalable architecture designed for long-term product evolution.
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MagView ORC
Engineering a clinical risk assessment platform built for reliability, accuracy and scalability.
MagView ORC is a browser-based breast cancer risk assessment platform developed for one of the leading mammography reporting and tracking solution providers in the United States. Designed around the Tyrer-Cuzick Model (Version 8), the application enables healthcare professionals to perform complex clinical risk assessments through a structured, responsive workflow while generating professional reports suitable for clinical use.
Engineering
Snapshot
Platform
Responsive Web Application
Project Complexity
High
Complexity Factors
- Multi-step clinical workflow
- Real-time medical risk calculations
- API-driven application architecture
- Dynamic validation and conditional logic
- Professional PDF generation
- Session persistence and workflow continuity
- Scalable platform architecture
Role
- Full-Stack Web Application Development
- API Integration
- Product Engineering
- Quality Assurance
Challenge
The application needed to simplify complex clinical risk assessments without compromising medical accuracy or professional usability. Multiple stages of medical data collection, dynamic validations, real-time calculations and professional report generation had to function as a seamless workflow while ensuring users could complete assessments efficiently and reliably across different devices.
Technical Understanding
Before development began, we analysed the complete assessment workflow, functional dependencies and clinical data requirements to understand how healthcare professionals would interact with the platform. This enabled us to structure the application into a guided multi-step experience while establishing a scalable architecture capable of supporting future enhancements, evolving business requirements and continued product development.
How We Executed It
Engineering A Guided Clinical Workflow
The assessment process was engineered as a structured multi-screen workflow, transforming complex medical data collection into manageable sections with contextual validation and logical progression. This improved usability while maintaining the professional workflow expected within a clinical environment.
Delivering Real-Time Clinical Risk Calculations
The platform integrates API-driven risk calculations based on the Tyrer-Cuzick Model (Version 8), enabling users to receive accurate assessment results immediately after completing the questionnaire without interrupting the workflow.
Preserving Workflow Continuity
Healthcare professionals should never lose completed assessment results because of an accidental browser refresh. To improve reliability, we engineered session-based result persistence that restores completed assessments after a page refresh without recalculating risk scores, recreating database records or forcing users to repeat the assessment process.
Building A Scalable Product Architecture
The application was engineered with long-term evolution in mind, supporting ongoing feature development through modular architecture, API-driven integrations and behaviour-based platform enhancements such as intelligent usage management and lead capture capabilities.
Generating Professional Clinical Documentation
Assessment results are automatically converted into professionally formatted PDF reports suitable for healthcare use, allowing clinicians to access, review and share assessment outcomes through a consistent and reliable reporting format.
Outcome
The completed platform delivers a reliable, browser-based clinical risk assessment experience that combines guided workflows, real-time calculations and professional reporting within a scalable application architecture. By focusing on execution reliability, workflow continuity and future extensibility, the solution provides a dependable platform that continues to evolve alongside MagView’s product ecosystem.
Clarity Before Execution. Accountability Until Delivery
Great development is not only about writing quality code.
It is about understanding the logic behind what needs to be built, creating agreement before execution, maintaining visibility throughout development, and verifying quality before delivery.
Our process is designed to reduce uncertainty, improve execution reliability, and create predictable project outcomes.